Mahotas – 过滤区域

在本文中，我们将了解如何在 mahotas 中过滤区域。为此，我们将使用来自核分割基准的荧光显微镜图像。我们可以在下面给出的命令的帮助下获取图像 -

mhotas.demos.nuclear_image()

下面是nuclear_image

为了过滤这个图像，我们将获取图像对象 numpy.ndarray 并在索引的帮助下过滤它，下面是执行此操作的命令

nuclear = nuclear[:, :, 0]

示例 1：

# importing required libraries
import mahotas as mh
import mahotas.demos
import numpy as np
from pylab import imshow, show
  
# getting nuclear image
nuclear = mh.demos.nuclear_image()
  
print("Original Image i.e without filter")
# show the original image
imshow(nuclear)
show()
  
# filtering the image
nuclear = nuclear[:, :, 0]
  
print("Image with filter")
# showing the image
imshow(nuclear)
show()

输出 ：

示例 2：

# importing required libraries
import mahotas as mh
import mahotas.demos
import numpy as np
from pylab import imshow, show
  
# getting nuclear image
nuclear = mh.demos.nuclear_image()
  
print("Original Image i.e without filter")
# show the original image
imshow(nuclear)
show()
  
# filtering the image
nuclear = nuclear[500:, 500:, :]
  
print("Image with filter")
# showing the image
imshow(nuclear)
show()

输出 ：